David E. Halstead

602 total citations
10 papers, 491 citations indexed

About

David E. Halstead is a scholar working on Computational Mechanics, Aerospace Engineering and Mechanical Engineering. According to data from OpenAlex, David E. Halstead has authored 10 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Mechanics, 10 papers in Aerospace Engineering and 2 papers in Mechanical Engineering. Recurrent topics in David E. Halstead's work include Turbomachinery Performance and Optimization (10 papers), Fluid Dynamics and Turbulent Flows (8 papers) and Combustion and flame dynamics (4 papers). David E. Halstead is often cited by papers focused on Turbomachinery Performance and Optimization (10 papers), Fluid Dynamics and Turbulent Flows (8 papers) and Combustion and flame dynamics (4 papers). David E. Halstead collaborates with scholars based in United States, Australia and United Kingdom. David E. Halstead's co-authors include T. H. Okiishi, H. P. Hodson, Hyun Wook Shin, D. C. Wisler, G. J. Walker, G. J. Walker, Daniel J. Dorney, Chander Prakash, David E. Ashpis and A. R. Wadia and has published in prestigious journals such as Journal of Propulsion and Power, Journal of Turbomachinery and Volume 1: Turbomachinery.

In The Last Decade

David E. Halstead

10 papers receiving 472 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David E. Halstead United States 9 470 466 207 9 8 10 491
W. Steinert Germany 14 444 0.9× 380 0.8× 242 1.2× 8 0.9× 5 0.6× 38 494
Brenda Haven United States 5 416 0.9× 385 0.8× 316 1.5× 7 0.8× 11 1.4× 13 465
C. R. Hedlund United States 10 204 0.4× 301 0.6× 323 1.6× 12 1.3× 12 1.5× 13 362
Shantanu Mhetras United States 14 525 1.1× 412 0.9× 521 2.5× 5 0.6× 4 0.5× 29 570
Paul W. Giel United States 12 312 0.7× 328 0.7× 233 1.1× 7 0.8× 19 2.4× 31 377
F. Haselbach Germany 9 340 0.7× 328 0.7× 151 0.7× 9 1.0× 3 0.4× 22 367
Patricia S. Prahst United States 9 320 0.7× 262 0.6× 137 0.7× 16 1.8× 2 0.3× 18 346
Hans‐Peter Kau Germany 12 338 0.7× 309 0.7× 143 0.7× 21 2.3× 10 1.3× 37 407
D. O. O’Dowd United Kingdom 9 418 0.9× 371 0.8× 356 1.7× 25 2.8× 7 0.9× 13 447
P. D. Johnson United States 9 318 0.7× 263 0.6× 110 0.5× 21 2.3× 7 0.9× 21 347

Countries citing papers authored by David E. Halstead

Since Specialization
Citations

This map shows the geographic impact of David E. Halstead's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David E. Halstead with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Halstead more than expected).

Fields of papers citing papers by David E. Halstead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David E. Halstead. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David E. Halstead. The network helps show where David E. Halstead may publish in the future.

Co-authorship network of co-authors of David E. Halstead

This figure shows the co-authorship network connecting the top 25 collaborators of David E. Halstead. A scholar is included among the top collaborators of David E. Halstead based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David E. Halstead. David E. Halstead is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Prakash, Chander, et al.. (2008). Effect of Loading Level and Distribution on LPT Losses. 917–925. 15 indexed citations
2.
Dorney, Daniel J., et al.. (2000). Study of Boundary-Layer Development in a Two-Stage Low-Pressure Turbine. Journal of Propulsion and Power. 16(1). 160–163. 8 indexed citations
3.
Halstead, David E., D. C. Wisler, T. H. Okiishi, et al.. (1997). Boundary Layer Development in Axial Compressors and Turbines: Part 1 of 4—Composite Picture. Journal of Turbomachinery. 119(1). 114–127. 170 indexed citations
4.
Halstead, David E., D. C. Wisler, T. H. Okiishi, et al.. (1997). Boundary Layer Development in Axial Compressors and Turbines: Part 2 of 4—Compressors. Journal of Turbomachinery. 119(3). 426–444. 71 indexed citations
5.
Halstead, David E., D. C. Wisler, T. H. Okiishi, et al.. (1997). Boundary Layer Development in Axial Compressors and Turbines: Part 3 of 4— LP Turbines. Journal of Turbomachinery. 119(2). 225–237. 125 indexed citations
6.
Halstead, David E., D. C. Wisler, T. H. Okiishi, et al.. (1997). Boundary Layer Development in Axial Compressors and Turbines: Part 4 of 4—Computations and Analyses. Journal of Turbomachinery. 119(1). 128–139. 37 indexed citations
7.
Halstead, David E., et al.. (1995). Boundary Layer Development in Axial Compressors and Turbines: Part 4 of 4 — Computations and Analyses. Volume 1: Turbomachinery. 6 indexed citations
8.
Halstead, David E., et al.. (1995). Boundary Layer Development in Axial Compressors and Turbines: Part 2 of 4 — Compressors. Volume 1: Turbomachinery. 14 indexed citations
9.
Halstead, David E., et al.. (1995). Boundary Layer Development in Axial Compressors and Turbines: Part 1 of 4 — Composite Picture. Volume 1: Turbomachinery. 22 indexed citations
10.
Halstead, David E., et al.. (1995). Boundary Layer Development in Axial Compressors and Turbines: Part 3 of 4 — LP Turbines. Volume 1: Turbomachinery. 23 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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